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Data Analyst

Job in Yonkers, Westchester County, New York, 10701, USA
Listing for: SmithRx
Full Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 121000 - 170000 USD Yearly USD 121000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Analyst
Who We Are:

Smith Rx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, Smith Rx has a solution that is resonating with clients all across the country.

We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:

  • Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new.
  • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always.
  • Together: The success of Smith Rx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise.
Job Summary:

As a Staff Data Analyst at Smith Rx, you’ll play a pivotal role on a high-impact Data team, leading through technical excellence, mentoring emerging talent, and delivering insights that accelerate our mission to make healthcare more affordable & accessible. You’ll have a genuine opportunity to shape our product, business, and people, and reinforce our position as the market leader in a Modern PBM revolution.

If you’re a hands‑on problem‑solver eager to make a tangible difference in a high-growth health tech environment, come join us at Smith Rx!

What you will do:

As a Staff Data Analyst you will:

  • Establish Data-Driven Business Command

    • Partner with technical and business stakeholders to design key business metrics, dashboards, data products, and AI-enabled reporting systems that are widely‑adopted and empower data‑informed decisions
    • Leverage advanced skill to conduct rigorous analyses that reveal root causes, uncover opportunities, forecast outcomes, and drive positive product & business impact
    • Transform complex findings into compelling narratives that influence strategic direction
  • Champion Trustworthy Data

    • Collaborate closely with Data Engineers to influence the design, development, and maintenance of dimensional data models, ensuring data is complete, accurate, and reliably delivered
    • Champion world-class data governance practices, continuously raising the bar for data & code quality across technical teams
  • Amplify Team Performance

    • Partner with stakeholders to align roadmaps with business priorities, influence better problem framing, and model a standard of excellence
    • Operate as a force multiplier whose influence fosters growth across the whole Data team, providing incisive technical mentorship, inspiring intellectual curiosity, and driving clarity amidst ambiguity
What you will bring to Smith Rx:
  • Bachelor’s degree in an analytical field (i.e., STEM)
    Master’s or Ph.D. degree is preferred
  • 8+ years of hands‑on experience influencing product and business decision‑making through advanced analytical skill
    • Healthcare and/or pharmacy experience is preferred
  • Advanced technical proficiency , including deep experience:
    • Collaborating with Data & Analytics Engineers to architect robust data models and institute world‑class data quality guardrails
    • Leveraging SQL &…
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